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首页> 外文期刊>The journal of maternal-fetal & neonatal medicine >Factors influencing survival in pre-viable preterm premature rupture of membranes
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Factors influencing survival in pre-viable preterm premature rupture of membranes

机译:活膜早产早产中影响生存的因素

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摘要

Objective: An observational study of a consecutive case series of pre-viable PPROM (1624 gestational weeks) was performed between 2001 and 2007 in a single tertiary centre to identify factors that predict neonatal survival. Methods: Detailed obstetric, ultrasound and neonatal data were abstracted from clinical records. Univariate, multivariate and receiver operator curve (ROC) analyses were performed to identify predictors of neonatal survival to discharge. Results: A total of 143 cases of PPROM were identified. Survival to discharge was less with PPROM at 1620 weeks than 2024 weeks (17% versus 39%; p0.042). GA at PPROM, latency, mode of delivery and electronic foetal monitoring (EFM) were all significant, independent, predictors of survival (p<0.05). Ultrasound assessed amniotic fluid index (AFI) was a poor predictor of survival (area under ROC0.649, 95% CI0.5320.766). A multivariable predictive model, including GA at PPROM, latency, mode of delivery and EFM had an area under the ROC of 0.954 (95% CI0.9160.993, sensitivity 97%, specificity 89% and accuracy 92%). Conclusion: Pre-viable PPROM has a poor prognosis, though modern neonatal management techniques may improve survival in late pre-viable PPROM. The predictive model generated from this consecutive case series of this rare condition provides valuable data for counselling patients with this condition.
机译:目的:在2001年至2007年之间,在一个单一的三级中心对连续进行的可生存的PPROM病例系列(1624孕周)进行观察性研究,以确定可预测新生儿存活率的因素。方法:从临床记录中提取详细的产科,超声和新生儿数据。进行单变量,多变量和接受者操作者曲线(ROC)分析,以识别新生儿出院生存的预测因素。结果:共鉴定出143例PPROM病例。 PPROM在1620周时的存活存活率要比2024周时低(17%对39%; p0.042)。 PPROM处的GA,潜伏期,分娩方式和电子胎儿监测(EFM)均是生存的重要独立指标(p <0.05)。超声评估的羊水指数(AFI)不能很好地预测生存率(ROC0.649下的面积,95%CI0.5320.766)。多变量预测模型(包括PPROM处的GA,等待时间,分娩方式和EFM)的ROC范围为0.954(95%CI0.9160.993,敏感性97%,特异性89%和准确性92%)。结论:尽管现代的新生儿管理技术可能会提高晚期可生存PPROM的生存率,但可生存PPROM的预后较差。从这种罕见病的连续病例系列中生成的预测模型为指导患有这种病的患者提供了有价值的数据。

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